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How it works

How Shark Snip Works

A complete walkthrough from free signup to Premium subscriber running live picks every slate.

Four steps

  1. Sign up

    Free account in 10 seconds — no credit card. You land on a feed of every house pick we publish, ranked by edge and CLV history. Paid tiers unlock the builder and more model slots.

  2. Pick a model

    Each pick is tied to a named model with a public methodology + ATS/Brier/CLV track record. Follow ours, or build your own in the no-code Lego builder.

  3. Place bets

    We never hold your stake. Tap a pick to see fair price, recommended Kelly stake, and a one-click deep link to your sportsbook, peer-to-peer pickem app, or event-contract venue.

  4. Track ROI

    Every pick view is logged, settled, and rolled into your dashboard. CLV, ATS%, Brier, units won — all auto-graded against closing line. Test a model out-of-sample, compare two models, or share your card.

How Sharksnip Works

A walkthrough of the platform — from your first day as a free user to a Premium subscriber running live picks every slate.

TL;DR

  • Free forever to build, train, and backtest models. Live picks are the only paywall.
  • $10/wk Weekly for live picks (picks-only, football-season friendly). $30/mo or $299/yr Premium for everything — Sharp calls, DFS optimizer, props, full Consensus, API.
  • Sharp calls = one-click ML helpers (Optimize Weights, Diagnose, Auto-tune). Free tier gets 1/week. Premium gets 25/mo. Top-up at $1/call any tier.
  • Consensus = weighted aggregate of every house model. Tip of the iceberg goes to free; the full feed is Premium.
  • We're not a sportsbook and we don't sell signals to books.

NFL EPA + success rate atlas — pass/run efficiency, weekly drift, top team EPA per play

Every number on Sharksnip is built on rows like these — 35,000+ NFL plays from 2024 alone, run through the same pipeline that feeds Tinker, Consensus, and the Picks page.


1. Free signup (Sandbox)

Anyone can use Sharksnip free, forever. The free tier (Sandbox) gives you:

  • Full Tinker access — train and backtest unlimited models in your browser
  • The picks page with our predictions across NFL, NBA, MLB, NHL (1-week delay on real-time picks)
  • Multi-book pickem unified line shopping (PrizePicks, Underdog, DK Pick 6, Kalshi — pick the cheapest payout)
  • A bet tracker that auto-syncs from 30+ sportsbooks
  • The top consensus pick per slate (a teaser of the full Consensus product)
  • Discord access (general channels)

The only thing paywalled is live picks from your trained models. Building, training, backtesting — all free.


2. The three pricing tiers

Sharksnip pricing is simple by design. Pick the row that matches what you actually want:

You want… Tier Price
To build, backtest, taste 1 Sharp call/week Free / Sandbox $0 forever
Live picks from all your trained models — picks only, no AI tools Weekly $10/wk
Everything: live picks + 25 Sharp calls/mo + DFS optimizer + props + full Consensus + API Premium $30/mo or $299/yr
One additional Sharp call (any tier, any time) Top-up $1 per call

There's a free 7-day Premium pass if you sign up for a sportsbook through our affiliate links — that's funded by the books, not by you.

Why Weekly exists

Lots of bettors only play during football season (September–February). They don't want to commit to a full month or a year — they want live picks for the weeks they're actually betting. Weekly solves this: $10/wk, live picks from every model you've trained, auto-renews, cancel anytime in one click. It's intentionally picks-only — no Sharp calls, no DFS optimizer, no builder tools. If you want any of those, Premium is the upgrade.

Why Premium is $30/mo

One tier, everything in it. Live picks from all your trained models, 25 Sharp calls per month (rolling forward up to 50), the DFS contest optimizer, prop predictions for all books, the full Shark Snips Consensus with dispersion and market-divergence alerts, rate-limited API access, and the VIP Discord. Annual is $299/yr — a 17% discount and the best deal we offer.


3. Sharp calls — the killer feature

Sharp calls are button-press AI helpers inside the model builder. You don't write a prompt. You click a labeled button. Claude does the ML work behind the scenes and shows you a before/after preview. You accept or reject the change.

The buttons (initial set)

Button What it does Where it lives
Optimize Weights Hyperparameter tuning + small architecture search Training panel
Run Monte Carlo Simulates 10,000 outcomes against historical data; tail-risk summary Backtesting panel
Improve Calibration Brier-aware probability adjustment (Platt / isotonic) Evaluation panel
Suggest Features LLM proposes 3-5 new feature engineering ideas Feature picker
Diagnose Explains why your model is underperforming Anywhere a model is loaded
Auto-tune Re-trains end-to-end with proposed better hyperparams Training panel

How a Sharp call works

  1. You click the button (e.g., Optimize Weights).
  2. The system invokes the Claude API with the current model state and a structured tool schema.
  3. A modal appears showing a headline delta (e.g., "Brier: 0.241 → 0.226"), a what-changed view (architecture diff, feature list, hyperparams), and a projected improvement bound.
  4. You click Accept (applies the change to your working model) or Reject (closes the modal; quota still consumed).

You're always in the loop. Nothing changes silently.

Quotas

  • Free: 1 Sharp call per week (resets every Monday in your local timezone, no rollover)
  • Weekly: 0 Sharp calls (Weekly is a live-picks tier, not a Sharp call quota — top up at $1/call if you want one)
  • Premium: 25 Sharp calls per month, rolling forward up to 50 if unused
  • $1/call top-up: available to every tier as overflow (no subscription required)

Free users get 1 Sharp call per week (resets every Monday). Premium gets a monthly quota that rolls over up to 2× the monthly amount — so if you skip a month, your unused calls carry forward, but indefinite hoarding is capped. Anyone — including free and Weekly users — can buy single Sharp calls for $1 each at any time, no subscription needed. Top-up balance is held separately from your monthly quota and never expires.

Monthly quota resets on the 1st of each month, in your local timezone. Weekly free calls reset every Monday.


4. The Consensus product

This is potentially the most valuable thing on the platform. Every house model contributes to the Sharksnip Consensus — the weighted aggregate of what dozens of independently-trained ML models think about the same slate.

Model backtest error field — every model's projection vs actual is logged and visible

Every dot is a real model prediction logged against the real outcome. Cherry-pickers don't survive contact with the live track record.

Weighting

Models aren't averaged equally. Better track records earn more weight:

  • Verified Sharp models (90+ days, top 10% calibration, 500+ predictions) → 5× weight
  • Established models → 2× weight
  • Standard models → 1× weight
  • Probationary (new) → 0.25× weight
  • Excluded (sub-50% calibration on resolved bets) → 0× weight

We cap any single model at 5% of total Consensus weight, so the signal can't be dominated by one popular model.

How buyers see it

  • Free / Weekly: top consensus pick per slate
  • Premium: full Consensus across all games and sports, dispersion analysis, divergence-from-market alerts, custom slicing, full historical track record, and rate-limited API access

What we won't do

We don't sell Consensus to sportsbooks. Period. Doing so would close the asymmetry between books and bettors on the wrong side. Your data never goes to operators.


Rest-of-season schedule ridge — implied team totals + matchup heat by team and week

Schedule strength backs every "look-ahead" pick. DET / BAL / BUF aren't winning the implied-total race by accident.


5. Pickem (multi-book line shopping)

If you play DFS-style pickem (PrizePicks, Underdog Pick 6, DraftKings Pick 6), Sharksnip aggregates them into a single interface. You see:

  • The same prop across multiple books
  • Which book has the best line
  • Which book has the best payout multiplier
  • Affiliate-tracked direct deeplinks to place the bet

We don't take a cut of your bets — we make money via sportsbook/DFS site affiliate fees when you sign up. The line shopping is free for you and funded by the books.

We've integrated Kalshi (CFTC-regulated prediction market) as a hedge against state-by-state pickem regulations. As regulators continue to crack down on against-the-house pickem, Kalshi's federally-regulated exchange becomes increasingly important.


6. Account, billing, controls

  • Cancel anytime — settings page, no friction. Weekly cancels in one click; Premium cancels end-of-period by default
  • Downgrade anytime — your saved models persist, you just lose Sharp calls and live-picks access until you re-upgrade
  • Export your data — full export of models, predictions, transaction history
  • Two-factor auth — recommended for any account with billing

Questions?

Or just sign up — the free tier covers most of what's described here.

Try the surfaces this doc describes

The walkthrough above mentions every product surface. These are the deep links — start wherever you are in the user journey:

FAQ

Is Shark Snip a sportsbook?

No. We are an analytics platform — we model prices and ship picks, but you place every bet at the sportsbook, peer-to-peer pickem app, or event-contract venue of your choice. The platform never holds your stake.

How are the house picks generated?

In the browser, using the same TF.js + Bayesian regression blocks the no-code builder exposes. We re-train daily on nflverse, NBA play-by-play, and statcast data; each /picks card links to a methodology page and to the exact blocks that produced it.

Can I build my own model?

Yes. The Pro tier unlocks the no-code builder at /build/new and validation in Tinker. Your models are private to your account — train, test out-of-sample, and run live picks from any model you build.

Do I need to subscribe to use the platform?

No. /picks, /learn, and /guides are all free. Paid tiers unlock real-time picks, Sharp calls, DFS optimizer, and the no-code model builder.

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